Agent skill

reagent-expiry-alert

Scan reagent barcodes, log expiry dates, and alert before expiration

Stars 163
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/reagent-expiry-alert

SKILL.md

Reagent Expiry Alert

Scan reagent bottle barcodes/QR codes, log expiration dates, and alert before expiry.

Usage

bash
python scripts/main.py --scan "REAGENT-001" --expiry 2025-12-31
python scripts/main.py --check-alerts

Parameters

  • --scan: Reagent barcode/ID
  • --expiry: Expiration date (YYYY-MM-DD)
  • --check-alerts: Check for upcoming expirations
  • --alert-days: Days before expiry to alert (default: 30)

Features

  • Barcode/QR code scanning support
  • Automatic expiry date logging
  • Multi-level alerts (30/60/90 days)
  • Inventory tracking

Output

  • Expiration alerts
  • Inventory report
  • Reorder recommendations

Risk Assessment

Risk Indicator Assessment Level
Code Execution Python/R scripts executed locally Medium
Network Access No external API calls Low
File System Access Read input files, write output files Medium
Instruction Tampering Standard prompt guidelines Low
Data Exposure Output files saved to workspace Low

Security Checklist

  • No hardcoded credentials or API keys
  • No unauthorized file system access (../)
  • Output does not expose sensitive information
  • Prompt injection protections in place
  • Input file paths validated (no ../ traversal)
  • Output directory restricted to workspace
  • Script execution in sandboxed environment
  • Error messages sanitized (no stack traces exposed)
  • Dependencies audited

Prerequisites

No additional Python packages required.

Evaluation Criteria

Success Metrics

  • Successfully executes main functionality
  • Output meets quality standards
  • Handles edge cases gracefully
  • Performance is acceptable

Test Cases

  1. Basic Functionality: Standard input → Expected output
  2. Edge Case: Invalid input → Graceful error handling
  3. Performance: Large dataset → Acceptable processing time

Lifecycle Status

  • Current Stage: Draft
  • Next Review Date: 2026-03-06
  • Known Issues: None
  • Planned Improvements:
    • Performance optimization
    • Additional feature support

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